磁矩
凝聚态物理
张量(固有定义)
电子磁偶极矩
物理
自旋(空气动力学)
力矩(物理)
空格(标点符号)
中子磁矩
磁场
经典力学
量子力学
磁偶极子
计算机科学
数学
几何学
操作系统
热力学
作者
Ivan S. Novikov,Blazej Grabowski,Fritz Körmann,Alexander V. Shapeev
标识
DOI:10.1038/s41524-022-00696-9
摘要
Abstract We present the magnetic Moment Tensor Potentials (mMTPs), a class of machine-learning interatomic potentials, accurately reproducing both vibrational and magnetic degrees of freedom as provided, e.g., from first-principles calculations. The accuracy is achieved by a two-step minimization scheme that coarse-grains the atomic and the spin space. The performance of the mMTPs is demonstrated for the prototype magnetic system bcc iron, with applications to phonon calculations for different magnetic states, and molecular-dynamics simulations with fluctuating magnetic moments.
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